can                   package:fpc                   R Documentation

_G_e_n_e_r_a_t_i_o_n _o_f _t_h_e _t_u_n_i_n_g _c_o_n_s_t_a_n_t _f_o_r _r_e_g_r_e_s_s_i_o_n _f_i_x_e_d _p_o_i_n_t _c_l_u_s_t_e_r_s

_D_e_s_c_r_i_p_t_i_o_n:

     Generates tuning constants 'ca' for 'fixreg' dependent on the
     number of points and variables of the dataset.

     Only thought for use in 'fixreg'.

_U_s_a_g_e:

     can(n, p)

_A_r_g_u_m_e_n_t_s:

       n: positive integer. Number of points.

       p: positive integer. Number of independent variables.

_D_e_t_a_i_l_s:

     The formula is
     3+33/(n*2^{-(p-1)/2})^{1/3}+2900000/(n*2^{-(p-1)/2})^3. For
     justification cf. Hennig (2002).

_V_a_l_u_e:

     A number.

_A_u_t_h_o_r(_s):

     Christian Hennig chrish@stats.ucl.ac.uk <URL:
     http://www.homepages.ucl.ac.uk/~ucakche/>

_R_e_f_e_r_e_n_c_e_s:

     Hennig, C. (2002) Fixed point clusters for linear regression:
     computation and comparison, _Journal of Classification_ 19,
     249-276.

_S_e_e _A_l_s_o:

     'fixreg'

_E_x_a_m_p_l_e_s:

       can(429,3)

